Using AI to identify better treatment plans
Sriram Chandrasekaran leads the Systems Biology & Drug Discovery lab at the University of Michigan-Ann Arbor. He received his PhD in Biophysics from the University of Illinois at Urbana-Champaign and worked previously at Harvard University and MIT. Sriram has developed 10 different systems biology algorithms for drug discovery and bioengineering. He is the recipient of the Howard Hughes Medical Institute (HHMI) Predoctoral Fellowship, Harvard Junior Fellowship, MIT Technology Review’s Innovators Under 35 (TR35) award, the Harvard William Milton Fund award, a Distinguished Young Investigator Award from the AICHE COBRA society, and the Machine Learning in the Chemical Sciences Award from the Camille & Henry Dreyfus Foundation. He has also served on several grant review panels including the NIH COVID-19 Emergency Awards and UK Artificial Intelligence for Better Biomedical Health award panels.